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Example pandas.read_hdf5()

def test_write_data_frame(hdf_file_path):
    key = hdf.EntityKey('cause.test.prevalence')
    data = build_table([lambda *args, **kwargs: random.choice([0, 1]), "Kenya", 1],
                       2005, 2010, columns=('age', 'year', 'sex', 'draw', 'location', 'value'))

    non_val_columns = data.columns.difference({'value'})
    data = data.set_index(list(non_val_columns))

    hdf._write_pandas_data(hdf_file_path, key, data)

    written_data = pd.read_hdf(hdf_file_path, key.path)
    assert written_data.equals(data)

    filter_terms = ['draw == 0']
    written_data = pd.read_hdf(hdf_file_path, key.path, where=filter_terms)
    assert written_data.equals(data.xs(0, level='draw', drop_level=False))

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Example pandas.read_hdf5()

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